Audio Classification
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use amoghppatil/test_audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use amoghppatil/test_audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="amoghppatil/test_audio_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("amoghppatil/test_audio_classification") model = AutoModelForAudioClassification.from_pretrained("amoghppatil/test_audio_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
6bd6dda | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:30893d76063d0b9366ae22b51eb44d285a81df119ba493ed06eb3c5f35fc9b98
size 4920
|